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M.Sc. On Campus

Data Science

Goldsmiths, University of London

12 months
Duration
17760 GBP/year
10870 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
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Start date

About

The Data Science programme, offered by Goldsmiths, University of London, will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science.

Overview

The rate at which we are able to create data is rapidly accelerating. According to IBM, globally, we currently produce over 2.5 quintillion bytes of data a day. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change.

The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Science and industry are crying out for a new generation of data scientists who combine the statistical skills of data analysis and the computational skills needed to carry out this analysis on a vast scale.

The MSc Data Science programme, offered by Goldsmiths, University of London, provides you with these skills. 

Studying this Masters, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.

As well as these statistical skills, you will learn the computational techniques needed to efficiently analyse very large data sets. You will apply these skills to a range of real world data, under the guidance of experts in that domain. You will analyse trends in social media, make financial predictions and extract musical information from audio files. 

The degree will culminate in a final project in which you will you can apply your skills and follow your specialist interests. You will do a novel analysis of a real world data of your choice. 

The programme includes:

  • A firm grounding in the theory of data mining, statistics and machine learning
  • Hands-on practical real world applications such as social media, biomedical data and financial data with Hadoop (used by Yahoo!, Facebook, Google, Twitter, LinkedIn, IBM, Amazon, and many others), R and other specialised software
  • The opportunity to work with real-world software such as Apache

Careers

Data Science is one of the fastest growing sectors of employment internationally. Big Data is an important part of modern finance, retail, marketing, science, social science, medicine and government. 

The study of a combination of long established fields such as statistics, data mining, machine learning and databases with very modern and strongly related fields as big data management and analytics, sentiment analysis and social web mining, offers graduates an excellent opportunity for getting valuable skills in advanced data processing. 

This could lead to a variety of potential jobs including: 

  • Data Scientist
  • Data Mining Analyst
  • Big Data Analyst
  • Hadoop Developer
  • NoSQL Database Developer
  • R Programmer
  • Python Programmer
  • Researcher in Data Science and Data Mining

Programme Structure

Courses include:

  • Machine Learning and Statistical Data Mining
  • Big Data Applications
  • Data Programming
  • Data Science Research Topics
  • Final Project in Data Science

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months
    • Flexible

Start dates & application deadlines

More details
  • We encourage you to complete your application as early as possible, even if you haven't finished your current programme of study. 

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • You should have an undergraduate degree of at least upper second class standard in computing, physics and engineering, mathematical sciences or finance, and an interest in and capability for working in interdisciplinary contexts. 
  • In exceptional circumstances, outstanding practitioners or individuals with strong commercial experience may be considered.

Tuition Fee

To alway see correct tuition fees
  • International

    17760 GBP/year
    Tuition Fee
    Based on the tuition of 17760 GBP per year during 12 months.
  • National

    10870 GBP/year
    Tuition Fee
    Based on the tuition of 10870 GBP per year during 12 months.
  • National - part-time: £5435

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

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Data Science
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Goldsmiths, University of London

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